👤 Johan Koster

The timing of physical activity may influence metabolic health through interactions with circadian rhythms, yet its role in type 2 diabetes mellitus (T2DM) development is unclear. We investigated associations between time-of-day-specific physical activity and incident T2DM, and whether theoretically reallocating activity from morning to later in the day was associated with changes in T2DM risk. We included 4615 participants from The Maastricht Study cohort without diabetes (age 59.2 ± 8.6 years; 56.3% women). Device-based physical activity was measured over 7 days using activPAL monitors and classified into light-intensity physical activity (LPA) and moderate-to-vigorous intensity physical activity (MVPA), for morning (06:00-11:59 AM), afternoon (12:00-17:59 PM), evening (18:00-23:59 PM) and night (00:00-05:59 AM). Incident T2DM was assessed during a median 8.2-year follow-up. Cox proportional hazard and isotemporal substitution models were used, adjusted for sociodemographic and lifestyle factors, including diet, employment and sleep duration. During follow-up, 168 participants (3.6%) developed T2DM. Each additional 10 min/day of afternoon LPA or MVPA was associated with lower T2DM risk (LPA: hazard ratio [HR] 0.82, 95% confidence interval [CI] 0.70-0.97; MVPA: HR 0.85, 95% CI 0.72-1.00). Evening MVPA was also inversely associated with T2DM risk (0.65; 0.45-0.93), whereas night-time MVPA was associated with an increased risk (3.64; 1.30-10.17). No significant associations were found of morning LPA and MVPA or evening and night LPA with T2DM incidence. Substitution analyses indicated that reallocating 10 min of morning LPA to afternoon LPA (HR 0.71; 0.54-0.95) or morning MVPA to evening MVPA (HR: 0.64; 0.43-0.96) was associated with a lower T2DM risk, while no other significant associations were observed. Later-day physical activity, particularly in the afternoon, was associated with a lower incidence of T2DM, independent of intensity. This highlights the potential relevance of activity timing in relation to T2DM incidence. Show less

Colorectal cancer (CRC) is stratified into four consensus molecular subtypes (CMS1-4). CMS3 represents the metabolic subtype, but its wiring remains largely undefined. To identify the underlying tumorigenesis of CMS3, organoids derived from 16 genetically engineered mouse models are analyzed. Upon in vitro Cre-recombinase activation, transformation is established and transcriptional profiling reveals that distinct CMSs (CMS2-4) are modeled with different organoids. CMS3-like, metabolic signature-positive, organoids are induced by KRAS mutations. Interestingly, metabolic signatures are subsequently shown to result from enterocyte-like differentiation both in organoids and human cancers. Further analysis reveals carbamoyl-phosphate synthase 1 (CPS1) and sucrase-isomaltase (SI) as signature proteins. More importantly, CPS1 is crucial for de novo pyrimidine synthesis in CMS3 and its inhibition targets proliferation and stemness, facilitating enterocyte-like differentiation, while CMS2 and CMS4 models are not affected. Our data point to an enterocyte-like differentiation of CMS3 CRCs and reveal a selective vulnerability of this subtype through CPS1 inhibition. Show less

Impaired glucose tolerance (IGM) and type 2 diabetes mellitus (T2DM) are associated with less optimal time spent in 24-hour movement behaviors (24 h-MBs) compared to people with normoglycemia (NG). We aimed to investigate how 24 h-MBs change over time and whether changes in 24 h-MBs differ between adults according to glycemic trajectories over time. Participants ( The online version contains supplementary material available at 10.1038/s41598-025-33099-z. Show less

The small intestine plays a central role in lipid metabolism, most notably the uptake of dietary fats that are packaged into chylomicrons and secreted into the circulation for utilisation by peripheral tissues. While microsomal triglyceride transfer protein (MTP) is known to play a key role in this pathway, the intracellular assembly, trafficking, and secretion of chylomicrons is incompletely understood. Using human transcriptome datasets to find genes co-regulated with MTTP, we identified ERICH4 as a top hit. The gene encodes for glutamate-rich protein 4, a protein of unknown function. REACTOME gene-function prediction tools indicated that ERICH4 is involved in intestinal lipid metabolism. In addition, GWAS data point to a strong relationship between ERICH4 and plasma lipids. To validate ERICH4 as a lipid gene, we generated whole-body Erich4 knockout (Erich4 Despite prediction tools indicating ERICH4 as a strong candidate gene in intestinal lipid metabolism, we here show that ERICH4 does not play a role in intestinal lipid metabolism in mice. It remains to be established whether ERICH4 plays a role in human lipid metabolism. Show less

Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes (T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046 individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.8 × 10(-106)), PRMT6 (rs17496332, 1p13.3, p = 1.4 × 10(-11)), GCKR (rs780093, 2p23.3, p = 2.2 × 10(-16)), ZBTB10 (rs440837, 8q21.13, p = 3.4 × 10(-09)), JMJD1C (rs7910927, 10q21.3, p = 6.1 × 10(-35)), SLCO1B1 (rs4149056, 12p12.1, p = 1.9 × 10(-08)), NR2F2 (rs8023580, 15q26.2, p = 8.3 × 10(-12)), ZNF652 (rs2411984, 17q21.32, p = 3.5 × 10(-14)), TDGF3 (rs1573036, Xq22.3, p = 4.1 × 10(-14)), LHCGR (rs10454142, 2p16.3, p = 1.3 × 10(-07)), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7 × 10(-08)), and UGT2B15 (rs293428, 4q13.2, p = 5.5 × 10(-06)). These genes encompass multiple biologic pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer. We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was significant in men only (men p = 2.5 × 10(-08), women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sex-differentiated or conditional analyses explained ~15.6% and ~8.4% of the genetic variation of SHBG concentrations in men and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of considering these features when estimating complex trait variance. Show less

Liver X receptor (LXR) is a nuclear receptor regulating cholesterol metabolism. Liver X receptor has also been shown to exert anti-proliferative and anti-inflammatory properties. In this study, we evaluated the effect of LXR activation on cardiac hypertrophy in vitro and in vivo. Treatment with the synthetic LXR agonist T0901317 (T09) attenuated the hypertrophic response of cultured cardiomyocytes to endothelin-1 almost to control levels. siRNA interference showed that this effect was indeed LXR specific. To corroborate these findings in vivo, abdominal aortic constriction (AC) was used as a pressure overload model to induce cardiac hypertrophy in wild-type and LXR-α-deficient (LXR-α(-/-)) mice. In wild-type mice, T09 treatment resulted in a decrease of cardiac wall thickening 4 and 7 weeks after AC. Also, after 7 weeks of AC, mean arterial blood pressure and left ventricular weight/body weight (LVW/BW) ratios were decreased in T09 treated mice. These effects were not observed in LXR-α(-/-) mice, indicating that the beneficial effect of LXR activation on cardiac hypertrophy is attributable to the LXR-α isoform. T09 induced robust cardiac expression of metabolic genes which are downstream of LXR-α, such as SREBP-1c, ABCA1, and ABCG1. Together these results indicate that LXR exerts salutary effects in cardiac hypertrophy, possibly via metabolic remodelling. Show less